Startup
intelligence,
explained.
Behind every startup is more than a pitch. ZORAA is building a research system that connects the signals—and shows the reasoning behind them.
Nova Mobility
Fictional company · Mobility technologyOverall research score
Data completeness
Confidence
Conceptual representation. Sample values are not a live analysis.
FOR PEOPLE WHO ASK
BETTER QUESTIONS.
Information is everywhere.
Clarity isn’t.
Pitch decks. Founder profiles. Financials. Market reports. Understanding a startup means piecing together information that rarely arrives in one place.
The challenge isn’t finding another data point. It’s understanding how the pieces fit—and which ones are missing.
Collect
Bring relevant information together from permitted sources and company-submitted material.
Analyse
Examine signals in context, using research frameworks, quantitative indicators and AI support.
Explain
Connect each result to its evidence, confidence, limitations and unanswered questions.
From scattered signals
to a clearer picture.
Five connected stages. One principle: an insight should be traceable to the information behind it.
Start with the evidence.
Bring together information a startup provides and relevant sources that can be accessed with permission. Keep the source and its date attached.
- Startup-submitted information
- Company websites and announcements
- Permitted third-party research
- Financial documentation, where available
Our intended research architecture. The framework is being developed and tested; this website does not run live startup evaluations.
Read the methodologyA startup is more
than its pitch deck.
A multidimensional framework, designed to consider hundreds of potential signals. Explore the questions behind each category.
Example research dimensions. The framework will evolve with startup stage, industry and available information. More signals do not automatically mean better evidence.
A score without
an explanation
isn’t intelligence.
The result is only the beginning. ZORAA aims to make the underlying evidence, important assumptions and remaining uncertainty visible.
A ZORAA score is not a probability of startup success.
Nova Mobility · fictional example
POSITIVE SIGNALS
QUESTIONS TO INVESTIGATE
Know where the
intelligence comes from.
Sources matter as much as signals. The intended architecture brings together information we are permitted to use, with source references and clear verification boundaries.
Planned source categories, not a statement of current database access or partnerships. Access depends on permissions, licensing and availability.
Company product page
- Source type
- Primary public source
- Used for
- Product description
- Captured
- Example: 22 September 2026
- Verification
- Source identified; claims not independently verified
- Research note
- Cross-check against customer evidence and documentation.
Research more.
Assume less.
A consistent starting point for exploring opportunities and deciding where deeper diligence is needed.
- +Compare startups within a structured framework
- +Identify risks and missing evidence earlier
- +Understand the drivers behind an analytical result
- +Organise research across companies
Planned capabilities. No investment outcome is guaranteed. Independent professional due diligence remains essential.
Understand the picture
your startup presents.
Make your business easier to understand, and see where the information could tell a more complete story.
- +Build towards a structured startup profile
- +Identify missing information and evidence
- +Examine strengths and potential weaknesses
- +Request corrections to inaccurate information
Profile claiming, verification and submitted-information controls are part of the future product vision.
What we’re
trying to build.
A more thoughtful way to understand startups.
These are the principles guiding the work.
Better startup information
Make fragmented information easier to understand and examine.
Explainable AI
Show the factors behind analytical outputs, along with their limits.
Transparent data
Make the origin, freshness and quality of information visible.
Research over hype
Give evidence more weight than popularity or a polished pitch.
Human judgement matters
Support decisions without pretending to replace independent judgement.
An enduring research layer
Build towards a more useful infrastructure for startup understanding.
Thinking in the open.
Ideas behind the framework.
Questions worth asking.
A pitch tells a story. Research asks what supports it.
Why an attractive narrative is the beginning of startup research, not the conclusion.
Read the note RESEARCH NOTE / 02Confidence and completeness are different questions.
A full dataset can still contain weak evidence. The distinction matters.
Read the note RESEARCH NOTE / 03What a startup score should—and shouldn’t—tell you.
A number becomes useful when you can inspect the reasoning behind it.
Read the noteBetter research
starts with
better questions.
Join the early-access list for product updates and opportunities to help shape ZORAA.
For founders, investors, students, researchers and anyone curious about startup intelligence. Joining does not guarantee beta access or a launch date.